CS109

Course Resources
Syllabus Schedule Honor Code Office Hours Course Reader Python Review Latex Cheat Sheet Lecture Videos InLecture Challenge Project
AIWG Student Guide CS109ACE Signup OAE Accommodation Form
Problem Sets
1. Core Probability 2. Discrete Random Variables 3. Continuous Random Variables 4. Models 5. Uncertainty Theory Part 1
Lecture
1. Welcome 2. Conditioning and Bayes 3. Independence 4. Counting 5. Binomial 6. Moments 7. Poisson Random Variable 8. Continuous Random Variables 9. Gaussian (Normal) Random Variable 10. Probabilistic Models 11. Inference 12. General Inference 13. Multinomial 14. Beta 15. Central Limit Theorem 16. Bootstrapping
Tutorial
Tutorial 1 Tutorial 2 Tutorial 3
Exams
Midterm Review

Schedule

Lecture 4: Counting and Combinatorics

June 26, 2026
Hewlett 200, 10:30am

Lecture Materials

Lecture Questions

Lecture Solutions

Counting
Combinatorics

Learning Goals

Practice with counting!